Jobs at Rootly

Set technical direction for Rootly’s platform engineering function, defining platform standards, shared infrastructure primitives, observability practices, SLOs, and reliability guardrails. Build developer self-service tooling, drive adoption across engineering teams, improve incident management, and mentor senior engineers. Partner with leadership on platform vision and roadmap while solving infrastructure challenges through production-grade software. The role requires deep cloud, distributed systems, reliability, Rails or equivalent framework, and job-system expertise.

Own and improve Rootly’s developer platform, including CI pipelines, test infrastructure, deploy trains, staging environments, and developer tooling. Instrument delivery workflows, reduce merge-to-production time, identify flaky tests, improve rollback and smoke gates, and accelerate local development and onboarding. Partner with platform engineering, QA, and product teams while tracking developer experience metrics such as build time, deployment frequency, lead time, and change failure rate.

Build and maintain Rootly’s AWS infrastructure, reliability systems, observability, CI/CD tooling, datastores, and security hardening. Responsibilities include infrastructure-as-code changes, credential rotation, alert tuning, failover drills, runbooks, automation, incident response, and on-call participation. The role requires production systems experience, AWS and Terraform or OpenTofu expertise, monitoring knowledge, coding ability, and experience supporting production services.

Own the performance, reliability, and scalability of PostgreSQL, OpenSearch, Redis, and related platform datastores. Diagnose locking, pooling, query, and load issues; lead capacity planning and load testing; establish schema and migration standards; build monitoring, alerts, and runbooks; support replication and recovery; and mentor product engineers on data-intensive systems.

Lead and scale a distributed engineering team while balancing people management with hands-on technical direction. Responsibilities include hiring, coaching, mentoring, career development, engineering practices, roadmap execution, and leading significant product launches in collaboration with Product and Design. The role also requires defining technical priorities, managing technical debt and scalability, and fostering a collaborative, accountable engineering culture in a fast-growing SaaS startup.

Design and implement security solutions for infrastructure and applications, lead IAM, vulnerability management, incident response, and risk efforts, collaborate with SREs, build security tools, and participate in on-call rotations to ensure reliable, scalable product security.

As a Mid Market Account Executive, you'll build business across North America, manage the sales process for software opportunities, and work closely with mid-market accounts to achieve revenue goals.

The Senior Product Engineer at Rootly will drive end-to-end feature development, architect core infrastructure, and enhance user experiences through strong engineering practices. Responsibilities include collaborating with customers, ensuring product reliability and performance, and contributing to product design and systems thinking.

The Customer Success Manager will guide customers in using the incident management platform, enhance customer engagement, and reduce churn through strategic discussions and data analysis.

As a Senior AI Engineer, you will develop AI-powered features for incident management, collaborate with teams, and ensure scalable systems, utilizing LLMs and other AI technologies.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

The role involves building a business book, closing sales cycles for significant ARR opportunities, and leading product workshops with enterprise accounts.

Design and run prompt-based and adversarial test scenarios for agentic LLM features, build evaluation frameworks and rubrics, identify failure modes and hallucinations, define quality metrics, and partner with Product and Engineering to improve AI behavior before release.

The Technical Support Engineer will manage customer requests, troubleshoot technical issues, provide support to B2B clients, and enhance documentation.